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   <div id="projectname">Data Driven Substructure
   
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   <div id="projectbrief">A library for carrying out Multivariate Kernel Smoothing--designed to be fast and flexible for large data processing.</div>
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&#160;

<h3><a class="anchor" id="index_b"></a>- b -</h3><ul>
<li>BandwidthNorm()
: <a class="el" href="classCovariance.html#a008c5f1f83738a72a82b2f52dce85321">Covariance</a>
</li>
</ul>


<h3><a class="anchor" id="index_c"></a>- c -</h3><ul>
<li>ComputeBandwidth()
: <a class="el" href="classCovariance.html#a6badcf066113d3bfcffaa348b71e97c2">Covariance</a>
</li>
<li>ComputePDF()
: <a class="el" href="classDataSet.html#a5cd26da77fe5563bdf4dca753c704720">DataSet</a>
</li>
<li>ComputePDF_DirectSmoothing()
: <a class="el" href="classDataSet.html#a90c5673e76a3b700effd4bdbceeb1fbe">DataSet</a>
</li>
<li>ComputeSPDF()
: <a class="el" href="classSDataSet.html#a4ee9c1e3c22b262941e8bd2b9aeaa7c6">SDataSet</a>
</li>
<li>Correlation()
: <a class="el" href="classCovariance.html#a8f50b252023ce32fc0f9f0fd0f44edc6">Covariance</a>
</li>
<li>Covariance()
: <a class="el" href="classCovariance.html#a1b0c75c17023f8e424b9f8424cbcd81e">Covariance</a>
</li>
</ul>


<h3><a class="anchor" id="index_d"></a>- d -</h3><ul>
<li>DataSet()
: <a class="el" href="classDataSet.html#a2a0c14de0e419a25801ce1d443ed20ba">DataSet</a>
</li>
</ul>


<h3><a class="anchor" id="index_f"></a>- f -</h3><ul>
<li>Fill()
: <a class="el" href="classCovariance.html#a4543221389332dc122506d62cd7c5aee">Covariance</a>
, <a class="el" href="classDataSet.html#ad0c1c04d4bdd1a33a4ebac4010151847">DataSet</a>
, <a class="el" href="classSDataSet.html#aa71c263f0e9694bb98b3ab88fd6e0212">SDataSet</a>
</li>
<li>FullEvaluate()
: <a class="el" href="classPDF.html#affe2fedabb21f2c71b598ec8c0cbe308">PDF</a>
</li>
</ul>


<h3><a class="anchor" id="index_g"></a>- g -</h3><ul>
<li>GenerateDataSet()
: <a class="el" href="classDataSet.html#a1a27ec9e7f2b521be5175aa4973b6adc">DataSet</a>
</li>
<li>Generator()
: <a class="el" href="classPDF.html#abbcca53dc9ef85f2afcdfb728b1738a5">PDF</a>
</li>
<li>GetBin()
: <a class="el" href="classDataSet.html#a7261bb29701a071f76349854d1f39cb0">DataSet</a>
</li>
<li>GetBin_helper()
: <a class="el" href="classDataSet.html#aa7f019bcf5bb4fd63238bf8935cd306a">DataSet</a>
, <a class="el" href="classPDF.html#a15de6045a0fc1f57a00708e27ab1634a">PDF</a>
</li>
<li>GetBinCenter()
: <a class="el" href="classDataSet.html#ae5631df5826534bb6488e3170ba0d1d3">DataSet</a>
, <a class="el" href="classPDF.html#ae023f48bd7f9297539dcaba506c8f5a8">PDF</a>
</li>
<li>GridDistance()
: <a class="el" href="classTensor.html#ac642341771abe61b6de65f11a9cf2f30">Tensor&lt; T &gt;</a>
</li>
</ul>


<h3><a class="anchor" id="index_i"></a>- i -</h3><ul>
<li>Index()
: <a class="el" href="classTensor.html#aafec9bc95c7876c2738c46737f032e89">Tensor&lt; T &gt;</a>
</li>
<li>IndexVec()
: <a class="el" href="classTensor.html#a8d360c725767f6ff5f2ac8fb5f9f4952">Tensor&lt; T &gt;</a>
</li>
<li>Initialize()
: <a class="el" href="classPDF.html#a0cfb19a35036add49d50563cb6458909">PDF</a>
, <a class="el" href="classSPDF.html#ac7156037d6c8007137ee7329af11b8ee">SPDF</a>
, <a class="el" href="classDataSet.html#a92bf605df08a3cdb311f0e9c64adb409">DataSet</a>
</li>
<li>initialize_index_herlper()
: <a class="el" href="classTensor.html#ace6f80048f9cf60f267a371bd8480a54">Tensor&lt; T &gt;</a>
</li>
<li>InitializePDF()
: <a class="el" href="classSDataSet.html#aea42c71e79995276dc795268c295e74f">SDataSet</a>
</li>
<li>IsValid()
: <a class="el" href="classPDF.html#a469c916500cafce4b3ad612180b59231">PDF</a>
, <a class="el" href="classSPDF.html#af76622de4745049d90bea5363b1b053f">SPDF</a>
</li>
</ul>


<h3><a class="anchor" id="index_l"></a>- l -</h3><ul>
<li>Length()
: <a class="el" href="classTensor.html#a3edf1ff2c8d72b4d0c216fa37ecd83b9">Tensor&lt; T &gt;</a>
</li>
</ul>


<h3><a class="anchor" id="index_m"></a>- m -</h3><ul>
<li>Momentum()
: <a class="el" href="classSPDF.html#ac5b000be369e17094a81f527f13c3dab">SPDF</a>
</li>
</ul>


<h3><a class="anchor" id="index_o"></a>- o -</h3><ul>
<li>operator()()
: <a class="el" href="classCovariance.html#aee768d0462b8896ba627bb4f65e30d4a">Covariance</a>
, <a class="el" href="classPDF.html#a2269340b02c7ba1bb230727052f7cdd5">PDF</a>
, <a class="el" href="classSPDF.html#aac95e1c64c5527be332d972926fcb906">SPDF</a>
</li>
<li>operator[]()
: <a class="el" href="classTensor.html#a3fcfaa1fc021198496480f68c0071f6b">Tensor&lt; T &gt;</a>
</li>
</ul>


<h3><a class="anchor" id="index_p"></a>- p -</h3><ul>
<li>PDF()
: <a class="el" href="classPDF.html#a17f3b7c7818566cb7df35ace0235999b">PDF</a>
</li>
<li>Phase()
: <a class="el" href="classSPDF.html#abfd14fa4bcfe2cc1b55c446202e71fbd">SPDF</a>
</li>
<li>Project()
: <a class="el" href="classPDF.html#a560b0754c5e98b08bc68318d23cd09b1">PDF</a>
</li>
<li>Projection()
: <a class="el" href="classSPDF.html#a4dfe5fc76a3ac28d2f3527389fd5b9c7">SPDF</a>
</li>
</ul>


<h3><a class="anchor" id="index_r"></a>- r -</h3><ul>
<li>Random_Gaus()
: <a class="el" href="classDataSet.html#aff0fae83177a8189dbfaee8fd3980fd5">DataSet</a>
</li>
<li>Random_Poisson()
: <a class="el" href="classDataSet.html#ab46ba586ad86490f9b3dce2067ccc157">DataSet</a>
</li>
<li>Rank()
: <a class="el" href="classDataSet.html#a021cb974190e69518e340c2b501254d5">DataSet</a>
, <a class="el" href="classTensor.html#a2ddb04a0ee784b1772452d5b6c2f4331">Tensor&lt; T &gt;</a>
, <a class="el" href="classSPDF.html#a477060f3f841f6009c13a478961600ab">SPDF</a>
, <a class="el" href="classSDataSet.html#a28c48df0763f083e8aebf463a5a2578d">SDataSet</a>
, <a class="el" href="classCovariance.html#a8b84948da6b3975d2ff5b0b0407b5479">Covariance</a>
</li>
<li>Read()
: <a class="el" href="classPDF.html#a8880d565b66dc59cc117832d3acc36b4">PDF</a>
</li>
<li>RecomputePDF()
: <a class="el" href="classSDataSet.html#aa21cef53a14ad44c0dcaea1d7cf3248d">SDataSet</a>
</li>
</ul>


<h3><a class="anchor" id="index_s"></a>- s -</h3><ul>
<li>SDataSet()
: <a class="el" href="classSDataSet.html#acbfc87f3889f07e1a9227192ec7a987b">SDataSet</a>
</li>
<li>SetRandomSeed()
: <a class="el" href="classDataSet.html#abf221c899e73e154ff9cb611380b3feb">DataSet</a>
</li>
<li>size()
: <a class="el" href="classTensor.html#a65f3440129fa379cfa7de78cede43c5d">Tensor&lt; T &gt;</a>
</li>
<li>SPDF()
: <a class="el" href="classSPDF.html#a2c124dda20954db0ba80ee8e40aa61ed">SPDF</a>
</li>
</ul>


<h3><a class="anchor" id="index_t"></a>- t -</h3><ul>
<li>Tensor()
: <a class="el" href="classTensor.html#ae966f3807d5bfb78c049cf8c494e16ba">Tensor&lt; T &gt;</a>
</li>
<li>Time()
: <a class="el" href="classTime.html#addcf25fd37cd1f63f042c17eb0b72936">Time</a>
</li>
<li>Train()
: <a class="el" href="classSDataSet.html#a3f9bede07ae016a4077258fb228b9611">SDataSet</a>
</li>
</ul>


<h3><a class="anchor" id="index_v"></a>- v -</h3><ul>
<li>ValidIndex()
: <a class="el" href="classTensor.html#aa88e8d6a7dd4670effc5b8ea2a424173">Tensor&lt; T &gt;</a>
</li>
</ul>


<h3><a class="anchor" id="index_w"></a>- w -</h3><ul>
<li>Write()
: <a class="el" href="classPDF.html#af8fc52da6aca4f638ff42b48ade50477">PDF</a>
</li>
</ul>
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